Copra Monthly Price - Australian Dollar per Metric Ton

Data as of March 2026

Range
May 2006 - Jan 2021: 773.149 (163.01%)
Chart

Description: Copra (Philippines/Indonesia), bulk, c.i.f. N.W. Europe

Unit: Australian Dollar per Metric Ton



Source: ISTA Mielke GmbH, Oil World; US Department of Agriculture; World Bank.

See also: Agricultural production statistics

See also: Top commodity suppliers

See also: Commodities glossary - Definitions of terms used in commodity trading

Overview

Copra is the dried kernel of the coconut, produced by splitting mature coconuts and removing moisture so that the flesh can be pressed for oil. In commodity markets, it is typically priced per metric ton, with quotations often reflecting standard export grades and moisture content. Copra is a traditional oilseed raw material rather than a consumer food in bulk trade, and its market value is closely linked to the value of coconut oil and, indirectly, to other vegetable oils. The main commercial uses are crushing into coconut oil and production of coconut meal or cake, which is used in animal feed in some markets. Coconut oil derived from copra is also used in food processing, soaps, detergents, cosmetics, and industrial applications. Because copra is a processed agricultural product, its pricing depends not only on coconut harvests but also on drying quality, storage conditions, and transport from tropical producing areas to crushing and export centers.

Supply Drivers

Copra supply is shaped by the biology of the coconut palm, which grows in humid tropical climates and requires long maturation periods before bearing fruit. Production is concentrated in tropical coastal and island regions of South and Southeast Asia, the Pacific, and parts of East Africa and Latin America, where rainfall, temperature, and soil conditions support coconut cultivation. Output depends on the age profile of palm stands, because coconut trees are perennial and replacement takes many years. This creates slow adjustment to price signals compared with annual crops. Weather is a persistent supply factor: drought, excessive rainfall, cyclones, and saltwater intrusion can reduce nut set, harvest quality, and drying efficiency. Pests and diseases also matter because they can damage palms over long periods and reduce yields.

Copra is highly sensitive to post-harvest handling. Drying methods, humidity, and storage conditions affect oil content, mold risk, and quality discounts. Transport bottlenecks are common in dispersed island production areas, where collection from smallholders and shipment to crushers or ports adds cost. Because copra is bulky and relatively low in value per unit weight, freight and logistics materially influence export competitiveness. Supply is also tied to competing uses for coconuts, including fresh consumption and desiccated coconut processing, which can divert nuts away from copra production.

Demand Drivers

Demand for copra is driven primarily by the crushing industry, which converts it into coconut oil and coconut meal. Coconut oil is used in food manufacturing, confectionery, frying applications in some markets, and non-food uses such as soaps, surfactants, and personal-care products. Coconut meal or cake is a byproduct used in livestock feed, although its use depends on local feed formulations and relative prices of other protein meals. Because copra is an input rather than a final consumer good, its demand is derived from downstream demand for coconut oil and meal.

Substitution is important. Coconut oil competes with palm oil, soybean oil, rapeseed oil, and other vegetable oils in food and industrial applications, so relative prices among oils influence crushing demand for copra. In soap and detergent manufacturing, coconut oil is valued for its lauric acid content, which gives it functional properties not fully matched by many other oils. Consumer demand for coconut-based foods and ingredients also supports the market, especially in regions where coconut products are traditional. Seasonal patterns can appear in harvesting and shipping, but end-use demand is more persistent than seasonal. Income growth can raise demand for processed foods, cosmetics, and packaged consumer goods that use coconut derivatives, while health and labeling preferences can shift product formulations over long periods.

Macro and Financial Drivers

Copra prices are influenced by the value of the U.S. dollar because the commodity is commonly quoted in dollars while production costs are incurred in local currencies. Exchange-rate changes can alter export competitiveness and producer margins. As with other storable agricultural commodities, financing costs matter: higher interest rates raise the cost of holding inventories, which can affect the relationship between nearby and deferred prices. Storage conditions are also important because copra can deteriorate if moisture is not controlled, so quality risk limits long-term warehousing and can steepen nearby price sensitivity.

Copra often moves with broader vegetable-oil markets because crushers and buyers compare feedstock economics across oils. It can also show sensitivity to freight costs, since tropical origin-to-port logistics are a meaningful part of delivered value. Inflation affects nominal prices through input costs such as labor, fuel, packaging, and transport, but the main price mechanism remains the balance between coconut oil demand and the availability of dried coconut kernel.

MonthPriceChange
May 2006474.28-
Jun 2006482.681.77%
Jul 2006485.570.60%
Aug 2006494.681.88%
Sep 2006502.551.59%
Oct 2006519.303.33%
Nov 2006531.732.39%
Dec 2006580.789.22%
Jan 2007586.430.97%
Feb 2007610.824.16%
Mar 2007609.67-0.19%
Apr 2007627.542.93%
May 2007684.469.07%
Jun 2007730.646.75%
Jul 2007672.53-7.95%
Aug 2007691.352.80%
Sep 2007691.580.03%
Oct 2007706.612.17%
Nov 2007790.6511.89%
Dec 2007838.116.00%
Jan 2008915.869.28%
Feb 2008957.414.54%
Mar 20081,006.995.18%
Apr 2008978.23-2.86%
May 20081,000.642.29%
Jun 20081,030.873.02%
Jul 2008944.25-8.40%
Aug 2008861.66-8.75%
Sep 2008849.28-1.44%
Oct 2008800.32-5.77%
Nov 2008685.69-14.32%
Dec 2008691.600.86%
Jan 2009674.80-2.43%
Feb 2009645.93-4.28%
Mar 2009588.42-8.90%
Apr 2009657.8211.79%
May 2009696.285.85%
Jun 2009587.48-15.63%
Jul 2009533.91-9.12%
Aug 2009560.935.06%
Sep 2009511.59-8.80%
Oct 2009486.05-4.99%
Nov 2009496.362.12%
Dec 2009529.756.73%
Jan 2010537.241.41%
Feb 2010565.315.23%
Mar 2010632.3111.85%
Apr 2010639.621.16%
May 2010671.645.01%
Jun 2010732.349.04%
Jul 2010744.581.67%
Aug 2010819.5110.06%
Sep 2010853.784.18%
Oct 2010907.876.34%
Nov 2010961.135.87%
Dec 20101,104.4914.91%
Jan 20111,293.0017.07%
Feb 20111,408.728.95%
Mar 20111,218.09-13.53%
Apr 20111,267.014.02%
May 20111,246.26-1.64%
Jun 20111,086.75-12.80%
Jul 2011977.95-10.01%
Aug 2011876.65-10.36%
Sep 2011807.59-7.88%
Oct 2011749.83-7.15%
Nov 2011919.3722.61%
Dec 2011907.24-1.32%
Jan 2012886.13-2.33%
Feb 2012831.23-6.20%
Mar 2012800.25-3.73%
Apr 2012823.502.91%
May 2012725.08-11.95%
Jun 2012667.54-7.94%
Jul 2012653.31-2.13%
Aug 2012600.99-8.01%
Sep 2012582.25-3.12%
Oct 2012554.25-4.81%
Nov 2012509.52-8.07%
Dec 2012466.45-8.45%
Jan 2013495.666.26%
Feb 2013520.825.08%
Mar 2013497.99-4.38%
Apr 2013478.90-3.83%
May 2013522.249.05%
Jun 2013596.2214.17%
Jul 2013591.11-0.86%
Aug 2013618.584.65%
Sep 2013663.957.33%
Oct 2013650.69-2.00%
Nov 2013858.1831.89%
Dec 2013892.894.04%
Jan 2014903.561.19%
Feb 2014959.556.20%
Mar 2014967.930.87%
Apr 2014916.21-5.34%
May 2014947.493.41%
Jun 2014924.20-2.46%
Jul 2014842.34-8.86%
Aug 2014813.44-3.43%
Sep 2014822.431.10%
Oct 2014822.390.00%
Nov 2014866.595.37%
Dec 2014919.126.06%
Jan 2015904.11-1.63%
Feb 2015963.406.56%
Mar 2015894.32-7.17%
Apr 2015874.96-2.16%
May 2015901.443.03%
Jun 2015919.892.05%
Jul 2015929.821.08%
Aug 2015890.16-4.26%
Sep 2015924.893.90%
Oct 2015933.040.88%
Nov 2015926.02-0.75%
Dec 2015946.582.22%
Jan 2016977.863.30%
Feb 2016993.301.58%
Mar 20161,038.064.51%
Apr 20161,075.523.61%
May 20161,062.18-1.24%
Jun 20161,081.781.85%
Jul 20161,059.15-2.09%
Aug 20161,062.990.36%
Sep 20161,069.810.64%
Oct 20161,032.29-3.51%
Nov 20161,076.154.25%
Dec 20161,167.068.45%
Jan 20171,201.632.96%
Feb 20171,124.76-6.40%
Mar 20171,053.24-6.36%
Apr 20171,082.892.81%
May 20171,112.132.70%
Jun 20171,124.601.12%
Jul 20171,053.06-6.36%
Aug 20171,031.80-2.02%
Sep 20171,011.54-1.96%
Oct 20171,015.020.34%
Nov 20171,063.814.81%
Dec 20171,024.05-3.74%
Jan 2018964.18-5.85%
Feb 2018910.41-5.58%
Mar 2018870.66-4.37%
Apr 2018885.361.69%
May 2018860.46-2.81%
Jun 2018823.73-4.27%
Jul 2018825.790.25%
Aug 2018837.181.38%
Sep 2018786.08-6.10%
Oct 2018737.89-6.13%
Nov 2018659.22-10.66%
Dec 2018701.116.35%
Jan 2019689.80-1.61%
Feb 2019630.65-8.58%
Mar 2019605.11-4.05%
Apr 2019596.08-1.49%
May 2019604.041.33%
Jun 2019578.03-4.31%
Jul 2019601.884.13%
Aug 2019666.7410.78%
Sep 2019667.850.17%
Oct 2019665.03-0.42%
Nov 2019753.9113.36%
Dec 2019892.5718.39%
Jan 2020878.12-1.62%
Feb 2020801.46-8.73%
Mar 2020851.756.27%
Apr 2020840.29-1.35%
May 2020797.40-5.10%
Jun 2020835.944.83%
Jul 2020799.60-4.35%
Aug 2020854.456.86%
Sep 2020897.755.07%
Oct 2020978.198.96%
Nov 20201,170.9419.70%
Dec 20201,180.060.78%
Jan 20211,247.435.71%

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